5 citations · 9 across the 7 of their papers we have counts for
8 papers
Extracting node comparison insights for the interactive exploration of property graphs
Cristina Aguiar, Jacques Chabin, Alexandre Chanson +6
While scoring nodes in graphs to understand their importance (e.g., in terms of centrality) has been investigated for decades, comparing nodes in property graphs based on their pro…
Learning a Distance for the Clustering of Patients with Amyotrophic Lateral Sclerosis
Guillaume Tejedor, Veronika Peralta, Nicolas Labroche +3
Amyotrophic lateral sclerosis (ALS) is a severe disease with a typical survival of 3-5 years after symptom onset. Current treatments offer only limited life extension, and the vari…
A Conceptual Model for Data Storytelling Highlights in Business Intelligence Environments
Panos Vassiliadis, Patrick Marcel, Faten El Outa +2
We introduce a conceptual model for highlights to support data analysis and storytelling in the domain of Business Intelligence, via the automated extraction, representation, and e…
A declarative approach to data narration
Patrick Marcel, Veronika Peralta, Faten El Outa +1
This vision paper lays the preliminary foundations for Data Narrative Management Systems (DNMS), systems that enable the storage, sharing, and manipulation of data narratives. We m…
Cube Interestingness: Novelty, Relevance, Peculiarity and Surprise
Dimos Gkitsakis, Spyridon Kaloudis, Eirini Mouselli +3
In this paper, we discuss methods to assess the interestingness of a query in an environment of data cubes. We assume a hierarchical multidimensional database, storing data cubes a…
Use of Context in Data Quality Management: a Systematic Literature Review
Flavia Serra, Veronika Peralta, Adriana Marotta +1
The importance of context in data quality (DQ) was shown many years ago and nowadays is widely accepted. Early approaches and surveys defined DQ as \textit{fitness for use} and sho…
Methodology for Mining, Discovering and Analyzing Semantic Human Mobility Behaviors
Clement Moreau, Thomas Devogele, Laurent Etienne +2
Various institutes produce large semantic datasets containing information regarding daily activities and human mobility. The analysis and understanding of such data are crucial for…
Detecting coherent explorations in SQL workloads
Veronika Peralta, Patrick Marcel, Willeme Verdeaux +1
This paper presents a proposal aiming at better understanding a workload of SQL queries and detecting coherent explorations hidden within the workload. In particular, our work inve…